Objective:To develop a deep learning-based segmentation model MT-UNet to automatically segment bone metastases and benign bone lesions in bone scintigraphy with SPECT/CT.Methods:A total of 93 patients (48 males and 45 females, age 28-84 years) who underwent bone SPECT/CT in the Department of Nuclear Medicine, General Hospital of Northern Theater Command from June 2023 to December 2023 were enrolled retrospectively in this study, with a total of 184 bone lesions (94 benign lesions and 90 metastatic tumors). The MT-UNet was employed to segment bone lesions in SPECT, CT and SPECT/CT images respectively. Comparative analysis with 8 segmentation models was performed. The training set and validation set were divided by using 5-fold cross-validation and transfer learning was introduced to further enhance the robustness of the model. An additional cohort of 22 patients (15 males and 7 females, age 37-87 years) who received bone SPECT/CT in the Department of Nuclear Medicine, General Hospital of Northern Theater Command from April 2023 to May 2023 were included, comprising 40 bone lesions (22 benign lesions and 18 metastatic tumors) as the test set of MT-UNet. Segmentation performance of different models was assessed using accuracy, sensitivity, specificity, AUC, intersection over union and Dice similarity coefficient (DSC). Delong test was used to compare the segmentation efficacy among different models in the test set.Results:In the validation set, MT-UNet demonstrated DSC of 0.940, 0.962, and 0.963 for SPECT, CT, and SPECT/CT bone lesion segmentation, respectively, which were outperformed other models. Following transfer learning implementation, the SPECT/CT model′s DSC was improved to 0.984. In the test set, MT-UNet maintained comparable segmentation performance to the validation set, with significant AUC differences among the three models ( Z values: from -15.42 to -9.27, all P<0.01). Compared with conventional image interpretation, MT-UNet-based segmentation reduced physician interpretation time from 164min to 102min. Conclusion:MT-UNet has shown good performance in automatic segmentation of bone metastases and benign bone lesions, and is expected to become an important part of SPECT/CT image intelligent diagnosis system for bone metastases.

Objective To analyze the current situation of quality control and regulation of centralized decoction of Chinese materia medica in Hangzhou through a mixed study combining quantitative research and qualitative research;To provide references for its standardization.Methods A self-designed questionnaire was distributed from July 20,2023 to August 10,2023 in institutions providing centralized decoction services of Chinese materia medica in different regions of Hangzhou.Using the stratified sampling method,the institutional personnel who completed the questionnaire survey were selected as the interviewees,and the semi-structured interview was used to refine the theme according to the Colaizzi seven step method.Results Totally 98 questionnaires were distributed and 96 valid questionnaires were recovered,with a valid recovery rate of 97.96%.There were significant differences in soaking time,concentration degree,and special decoction method such as decocted earlier or later of decoction pieces of Chinese materia medica among different types of institutions(P<0.05).The centralized decoction of Chinese materia medica in Hangzhou mainly involves two themes and seven sub themes:the supervision and management of the whole process of centralized decoction of Chinese materia medica(optimizing distribution of medical resources,strengthening of supervision,demanding guidance of standards),the operation of centralized decoction of Chinese materia medica(soaking time of decoction pieces of Chinese materia medica,the pretreatment operation of"decocted earlier and decocted later",the concentration treatment of Chinese materia medica decoction,and the quality control of Chinese materia medica decoction).Conclusion At present,centralized decoction of Chinese materia medica in Hangzhou still needs to be further standardized.It is recommended to strengthen the construction of shared Chinese materia medica pharmacy in the region,establish and improve the standard system of centralized decoction of Chinese materia medica decoction,and strengthen the construction of digital full chain traceability to improve the service quality and management level of centralized decoction of Chinese materia medica in Hangzhou.

Objective To analyze the current situation of quality control and regulation of centralized decoction of Chinese materia medica in Hangzhou through a mixed study combining quantitative research and qualitative research;To provide references for its standardization.Methods A self-designed questionnaire was distributed from July 20,2023 to August 10,2023 in institutions providing centralized decoction services of Chinese materia medica in different regions of Hangzhou.Using the stratified sampling method,the institutional personnel who completed the questionnaire survey were selected as the interviewees,and the semi-structured interview was used to refine the theme according to the Colaizzi seven step method.Results Totally 98 questionnaires were distributed and 96 valid questionnaires were recovered,with a valid recovery rate of 97.96%.There were significant differences in soaking time,concentration degree,and special decoction method such as decocted earlier or later of decoction pieces of Chinese materia medica among different types of institutions(P<0.05).The centralized decoction of Chinese materia medica in Hangzhou mainly involves two themes and seven sub themes:the supervision and management of the whole process of centralized decoction of Chinese materia medica(optimizing distribution of medical resources,strengthening of supervision,demanding guidance of standards),the operation of centralized decoction of Chinese materia medica(soaking time of decoction pieces of Chinese materia medica,the pretreatment operation of"decocted earlier and decocted later",the concentration treatment of Chinese materia medica decoction,and the quality control of Chinese materia medica decoction).Conclusion At present,centralized decoction of Chinese materia medica in Hangzhou still needs to be further standardized.It is recommended to strengthen the construction of shared Chinese materia medica pharmacy in the region,establish and improve the standard system of centralized decoction of Chinese materia medica decoction,and strengthen the construction of digital full chain traceability to improve the service quality and management level of centralized decoction of Chinese materia medica in Hangzhou.

Objective:To develop a deep learning-based segmentation model MT-UNet to automatically segment bone metastases and benign bone lesions in bone scintigraphy with SPECT/CT.Methods:A total of 93 patients (48 males and 45 females, age 28-84 years) who underwent bone SPECT/CT in the Department of Nuclear Medicine, General Hospital of Northern Theater Command from June 2023 to December 2023 were enrolled retrospectively in this study, with a total of 184 bone lesions (94 benign lesions and 90 metastatic tumors). The MT-UNet was employed to segment bone lesions in SPECT, CT and SPECT/CT images respectively. Comparative analysis with 8 segmentation models was performed. The training set and validation set were divided by using 5-fold cross-validation and transfer learning was introduced to further enhance the robustness of the model. An additional cohort of 22 patients (15 males and 7 females, age 37-87 years) who received bone SPECT/CT in the Department of Nuclear Medicine, General Hospital of Northern Theater Command from April 2023 to May 2023 were included, comprising 40 bone lesions (22 benign lesions and 18 metastatic tumors) as the test set of MT-UNet. Segmentation performance of different models was assessed using accuracy, sensitivity, specificity, AUC, intersection over union and Dice similarity coefficient (DSC). Delong test was used to compare the segmentation efficacy among different models in the test set.Results:In the validation set, MT-UNet demonstrated DSC of 0.940, 0.962, and 0.963 for SPECT, CT, and SPECT/CT bone lesion segmentation, respectively, which were outperformed other models. Following transfer learning implementation, the SPECT/CT model′s DSC was improved to 0.984. In the test set, MT-UNet maintained comparable segmentation performance to the validation set, with significant AUC differences among the three models ( Z values: from -15.42 to -9.27, all P<0.01). Compared with conventional image interpretation, MT-UNet-based segmentation reduced physician interpretation time from 164min to 102min. Conclusion:MT-UNet has shown good performance in automatic segmentation of bone metastases and benign bone lesions, and is expected to become an important part of SPECT/CT image intelligent diagnosis system for bone metastases.

OBJECTIVE To construct the simulated traditional Chinese medicine pharmacy based on virtual simulation technology， and assist in the development of the new mode of traditional Chinese medicine dispensing education training. METHODS The field research and questionnaire surveys were conducted to identify the needs of Chinese medicine students and practitioners for the content and presentation of knowledge on the construction of simulated traditional Chinese medicine pharmacy. Taking the laws and regulations on the construction of traditional Chinese medicine pharmacy and the related teaching materials and literature on traditional Chinese medicine preparation as the knowledge source， the virtual simulation technology was applied to build a simulated traditional Chinese medicine pharmacy so as to achieve the functions of browsing the traditional Chinese medicine pharmacy， learning the knowledge of traditional Chinese medicine preparation and practical skills training. A multi-site simulated traditional Chinese medicine pharmacy evaluation scale study was conducted based on platform operational testing. RESULTS A simulated traditional Chinese medicine pharmacy was constructed， consisting of four core modules： video teaching， animation video， simulated pharmacy， and simulated experience. The overall score of evaluation scale was 93.31， with all entries scoring above 80； the ones with evaluation scales above 90 accounted for 92.31% （60/65）. CONCLUSIONS Simulated traditional Chinese medicine pharmacy based on virtual simulation technology meets the learning needs of users and enhances the teaching effect of traditional Chinese medicine dispensing technology training.

Objective:To analyze the efficacy and safety of nalbuphine for analgesia in patients with non-mechanical ventilation in intensive care unit (ICU).Methods:From December 2018 to August 2021, a multicenter randomized controlled clinical study was conducted to select non-mechanical ventilation patients with analgesic needs admitted to ICU of four hospitals in Henan Province and Guizhou Province. Patients were randomly assigned to nalbuphine group and fentanyl group. The nalbuphine group was given continuous infusion of nalbuphine [0.05~0.20 mg/(kg·h)], and the fentanyl group was given continuous infusion of fentanyl [0.5~2.0 μg/(kg·h)]. The analgesic target was critical-care pain observation tool (CPOT) score<2. The observation time was 48 hours. The primary endpoint was CPOT score, the secondary endpoints were Richmond agitation-sedation score (RASS), ICU length of stay, adverse events, and proportion of mechanical ventilation. The quantitative data of the two groups were compared by t test or Mann-Whitney U test. The enumeration data were compared by chi square test or Fisher exact probability method. The data at different time points between groups were compared by repeated measures analysis of variance. Results:A total of 210 patients were enrolled, including 105 patients in the nalbuphine group and 105 patients in the fentanyl group. There was no significant difference in baseline data between the two groups (all P>0.05). There was no significant difference in CPOT score between nalbuphine group and fentanyl group at each time point after medication ( P>0.05), the CPOT score of both groups at each time point after medication was significantly lower than that before medication, and the analgesic target could be achieved and maintained 2 hours after medication. There was no significant difference in RASS between the two groups at each time point after medication ( P>0.05), which was significantly lower than that before medication, and the target sedative effect was achieved 2 hours after medication. There was no significant difference in ICU length of stay between nalbuphine group and fentanyl group [5.0(4.0,7.5) d vs. 5.0(4.0,8.0) d, P=0.504]. The incidence of delirium, nausea and vomiting, abdominal distension, pruritus, vertigo and other adverse events in the nalbuphine group was lower than that in the fentanyl group (all P<0.05). There was no significant difference in the incidence of other adverse events such as deep sedation, hypotension and bradycardia between the two groups (all P>0.05). The incidence of respiratory depression in nalbuphine group was not significantly different from that in fentanyl group ( P>0.05), but the proportion of mechanical ventilation was significantly lower than that in the fentanyl group [1.9% (2/105) vs. 8.6%(9/105), P=0.030]. Conclusions:Nalbuphine could be used for analgesia in ICU patients with non-mechanical ventilation. The target analgesic effect could be achieved within 2 hours, and it had a certain sedative effect with a low incidence of adverse reactions.

Porcine reproductive and respiratory syndrome (PRRS) is a highly contagious disease caused by porcine reproductive and respiratory syndrome virus (PRRSV), which causes great economic losses. At the moment, no effective neutralizing antibody is available for scientific research and treatment. Therefore, developing a method for screening the neutralizing monoclonal antibodies is of great significance for the prevention and treatment of PRRSV and the screening of antigen sites. Monoclonal antibodies have been widely used in the treatment and diagnosis of many human and animal diseases. Therefore, screening effective neutralizing antibodies for different pathogens is an urgent task. Among the methods for monoclonal antibody screening, B cell immortalization is an effective method to obtain neutralizing monoclonal antibody. Specifically, in this study, the bcl-6 and bcl-xl genes were connected by f2a and then the yielded product was ligated to a vector for retrovirus packaging. The swine lymphocytes immunized with PRRSV were infected the yielded mature viruses and cultured in the complete medium containing CD40L and IL21 cytokines. Then, CD21 was used as the marker to screen B cells with the magnetic bead method. Finally, monoclonal B cells were obtained and the secretion of antibodies was tested. The results showed that the plasmid, either being transfected alone or with the packaged plasmids, could be expressed, and that the packaged retrovirus could infect the cells. Moreover, the infected lymphocytes secreted antibodies, so did the screened B cells. Therefore, the method for screening monoclonal antibody against PRRSV was successfully established.
Animals ; Antibodies, Monoclonal ; Antibodies, Neutralizing ; Antibodies, Viral ; Humans ; Porcine Reproductive and Respiratory Syndrome/prevention & control* ; Porcine respiratory and reproductive syndrome virus/genetics* ; Swine

Objective:To explore the predictive value of MB isoenzyme of creatine kinase (CK-MB) and poisoning severity score (PSS) in the clinical prognosis of patients with wasp sting.Methods:A retrospective study was conducted. The clinical data of patients who were stung by wasps admitted to emergency department of the First Affiliated Hospital of Henan University of Science and Technology from July 2017 to November 2019 were collected. The 24-hour acute physiology and chronic health evaluation Ⅱ (APACHEⅡ), CK-MB and PSS scores of the patients were collected after admission, and 28-day outcome was recorded. Spearman correlation analysis method was used to analyze the correlation between CK-MB and PSS score. Logistic regression model was used to construct joint predictors, and the receiver operating characteristic (ROC) curve was drawn to evaluate the predictive value of various indicators for 28-day prognosis of patients with wasp stings.Results:Finally 90 patients were included in the analysis. There were 67 patients survived at 28 days, and 23 dead with the 28-day mortality of 25.6%. APACHEⅡ score, CK-MB and PSS score in the death group were significantly higher than those in the survival group [APACHEⅡscore: 19.7±2.7 vs. 13.7±2.3, CK-MB (U/L): 183 (151, 243) vs. 36 (21, 75), PSS score: 17.7±2.6 vs. 9.3±4.5, all P < 0.01]. The correlation analysis showed that CK-MB and PSS score were positively correlated ( r = 0.843, P < 0.01). Logistic regression model fitted CK-MB and PSS score, and Hosmer-Lemeshow test showed that the model fitted well. ROC curve analysis showed that the area under ROC curve (AUC) of CK-MB for predicting 28-day outcome was 0.957, the sensitivity was 91.3%, and the specificity was 88.1%; the AUC of PSS score was 0.908, the sensitivity was 91.3%, and the specificity was 90.8%. The AUC of CK-MB combined with PSS score was 0.964, the sensitivity was 100%, and the specificity was 79.4%, indicating that CK-MB combined with PSS score had higher predictive value and higher sensitivity for 28-day prognosis of patients with wasp sting. Conclusions:High CK-MB level and high PSS score in early stage of wasp sting injury indicate poor prognosis. Both CK-MB and PSS score can be used as predictors for predicting the prognosis of patients with wasp stings. In addition, CK-MB combined with PSS score have greater predictive value .

Objective To investigate the correlation between 24-h ambulatory blood pressure variability and the overall burden of cerebral small vessel disease (CSVD) in patients with acute ischemic stroke. Methods From March 2016 to December 2017, consecutive patients with acute ischemic stroke admitted to the Department of Neurology, the Affiliated Changshu Hospital of Soochow University were enrolled. The 3. 0 T-MRI was used to assess asymptomatic lacunar infarction, white matter hyperintensities, cerebral microbleeds, and enlarged perivascular spaces within 24 h after admission, and the total CSVD score (0-4) was calculated. 24-h ambulatory blood pressure monitoring was performed 24 to 72 h after admission. Ordinal logistic regression analysis was used to determine the independent correlation between the 24-h ambulatory blood pressure-related index and the total CSVD score. Results A total of 220 patients with acute ischemic stroke were enrolled. The patients were divided into five groups according to the total CSVD score. Univariate analysis showed that there were significant differences in age, homocysteine, the proportion of hypertension, as well as 24 h, daytime and nighttime mean systolic blood pressure (SBP), and coefficient of variation of daytime SBP among the 5 groups (all P < 0. 05). Ordinal logistic regression analysis showed that age (odds ratio [OR] 1. 078, 95％ confidence interval [CI] 1. 051-1. 106; P < 0. 001), 24-h mean SBP (OR 1. 043, 95％ CI 1. 026-1. 060; P < 0. 001), daytime mean SBP (OR 1. 042, 95％ CI 1. 025-1. 059; P < 0. 001), nighttime mean SBP (OR 1. 034, 95％ CI 1. 019-1. 049; P < 0. 001), and coefficient of variation of daytime SBP (OR 1. 129, 95％ CI 1. 052-1. 210; P = 0. 003) were independently correlated with the total CSVD score. Conclusions The elevated 24 h, daytime and nighttime mean SBP levels and coefficient of variation of daytime SBP are independently correlated with the severity of overall CSVD burden in patients with acute ischemic stroke.

Objective To systematically evaluate the diagnostic accuracy and clinical applicability of recognition of stroke in the emergency room (ROSIER) scale by systematic review and Meta-analysis. Methods The Chinese and English literatures concerning the diagnostic accuracy of ROSIER published from January 1st 2005 to December 31st 2018 by PubMed, Embase, Wanfang, VIP and CNKI databases were searched comprehensively and systematically. The sensitivity, specificity, and diagnostic odds ratio (DOR) of ROSIER in total population and subgroup analysis were pooled by using bivariate mixed effects model. Sensitivity analysis was used to evaluate the stability of the results. Deek funnel plot was utilized to evaluate publication bias. The clinical applicability of ROSIER was evaluated by Fagan Nomogram. Results A total of 28 studies incorporating 7 579 subjects were enrolled in this Meta-analysis. Meta-analysis in total population showed that the pooled sensitivity, specificity and DOR of ROSIER was 0.89 [95% confidence interval (95%CI) = 0.86-0.91, P = 0.00], 0.74 (95%CI = 0.67-0.80, P = 0.00) and 22.09 (95%CI =14.86-32.82, P = 0.00), respectively. Subgroup analysis of pooled sensitivity of ROSIER showed that Asian patients was significantly higher than European patients [0.89 (95%CI = 0.86-0.92) vs. 0.74 (95%CI = 0.66-0.82), P < 0.01], prospective study was significantly higher than retrospective study [0.89 (95%CI = 0.87-0.92) vs. 0.74 (95%CI = 0.61-0.88), P < 0.05], pre-hospital emergency was significantly higher than emergency department [0.87 (95%CI = 0.80-0.94) vs. 0.85 (95%CI = 0.81-0.90), P < 0.01], study with sample size ≤ 200 was significantly higher than study with sample size > 200 [0.88 (95%CI = 0.83-0.93) vs. 0.82 (95%CI = 0.76-0.88), P < 0.05], but there was no significant difference between different evaluators or different male to female ratio subgroups. Subgroup analysis of pooled specificity of ROSIER showed that European patients was significantly higher than Asian patients [0.81 (95%CI = 0.73-0.89) vs. 0.79 (95%CI = 0.73-0.85), P < 0.05], retrospective study was significantly higher than prospective study [0.88 (95%CI =0.78-0.97) vs. 0.79 (95%CI = 0.73-0.84), P < 0.05], pre-hospital emergency was significantly higher than emergency department [0.82 (95%CI = 0.73-0.91) vs. 0.79 (95%CI = 0.73-0.85), P < 0.01], emergency physicians was significantly higher than other medical workers [0.80 (95%CI = 0.74-0.86) vs. 0.79 (95%CI = 0.69-0.90), P < 0.05], study with sample size ≤ 200 was significantly higher than study with sample size > 200 [0.82 (95%CI = 0.76-0.89) vs. 0.78 (95%CI = 0.71-0.85), P < 0.05], but there was no significant difference between different male or female ratio subgroups. Sensitivity analysis showed that there was no significant change in pooled DOR before and after excluding each study, indicating that the results were stable. Funnel plot showed that there was a significant publication bias in the total population (P = 0.04), but there was no publication bias in the European population (P = 0.57) or the Asian population (P = 0.08). According to the results of the Fagan Nomogram, with the pretest probability of 50%, when ROSIER was positive, the probability of being diagnosed with stroke increased to 77%, and when ROSIER was negative, the probability of being diagnosed with non-stroke decreased to 13%. It was suggested that ROSIER had good applicability and high clinical diagnostic value. Conclusions ROSIER has high diagnostic sensitivity and specificity, and has high clinical diagnostic value. It is a valid stroke identification tool which can be widely used in Asian population, pre-hospital emergency and be utilized by trained medical worker.